Khalid Elbaz 
- (2024): Novel chitosan-enhanced alkali-activated material for remediation of zinc-contaminated coastal mudflat sediment. In: Construction and Building Materials, v. 447 (Oktober 2024).
- (2023): Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines. In: Tunnelling and Underground Space Technology, v. 136 (Juni 2023).
- (2021): Effect of pozzolan slurries on recycled aggregate concrete: Mechanical and durability performance. In: Construction and Building Materials, v. 276 (März 2021).
- (2022): A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete. In: Frontiers of Structural and Civil Engineering, v. 16, n. 3 (März 2022).
- (2022): Deep learning analysis for energy consumption of shield tunneling machine drive system. In: Tunnelling and Underground Space Technology, v. 123 (Mai 2022).
- (2018): Cutter-disc consumption during earth pressure balance tunnelling in mixed strata. In: Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, v. 171, n. 4 (August 2018).
- (2018): Investigation into performance of deep excavation in sand covered karst: A case report. In: Soils and Foundations, v. 58, n. 4 (August 2018).
- (2020): Properties of concrete containing strengthened crushed brick aggregate by pozzolan slurry. In: Construction and Building Materials, v. 247 (Juni 2020).
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